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Account Executive, Enterprise

Snowflake - Dublin, CA, United States - In-office - posted 2026-08-28

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Snowflake is seeking an experienced Account Executive to drive enterprise sales growth in the data analytics and AI/ML space. In this role, you will own a territory or set of accounts, prospecting for net new business while expanding relationships with existing customers. You'll conduct discovery calls, deliver customized product demonstrations, and serve as a trusted advisor to customers navigating their IT roadmaps and data strategy initiatives. Key responsibilities include: developing and executing territory sales plans with target prospect lists; qualifying opportunities and managing complex, multi-stakeholder sales cycles; achieving quarterly and annual sales quotas; and collaborating with sales engineering, professional services, marketing, legal, and finance teams to deliver solutions. You will become a product expert on Snowflake's platform, understanding how it applies to data warehousing, business intelligence, data science, and AI/ML use cases. Success requires the ability to build and own the sales strategy as if it were your own business, leveraging industry knowledge and go-to-market insights to close multi-million-dollar deals. Snowflake emphasizes an AI-native, experimental mindset across the organization. The ideal candidate is curious, low-ego, and thrives in fast-moving environments. You'll be expected to provide open feedback, build inclusive relationships with cross-functional partners, and independently manage the full sales lifecycle from prospecting through close. Required qualifications: 6+ years of enterprise software sales experience with a track record of meeting or exceeding quotas; demonstrated success selling technical solutions in data warehousing, BI, data science, or AI/ML; expertise in solution-based selling and complex sales processes; strong presentation, listening, and organizational skills; and proven ability to manage and close multi-million-dollar annual revenue targets independently.

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